xentec

#!/bin/sh

CTARGET="$1"
if [ -z "$CTARGET" ]; then
	program=$(basename $0)
	echo "usage: $program TARGET_ARCH"
	return 1
fi

# get abuild configurables

mjdietzx

#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda

mertyildiran

/* compile with:
 * gcc $(pkg-config xext x11 cairo-xlib-xrender --cflags --libs) cairo-xshape-example.c
 * https://github.com/jordansissel/experiments/blob/master/randomcode/cairo-xshape-example.c
 */

#include <cairo-xlib.h>
#include <X11/Xlib.h>
#include <X11/Xutil.h>
#include <stdio.h>
#include <X11/extensions/shape.h>

TheLoneNut

def triplet_loss(y_true, y_pred, alpha = 0.2):
    """
    Implementation of the triplet loss function

    Arguments:
    y_true -- true labels, required when you define a loss in Keras, not used in this function.
    y_pred -- python list containing three objects:
            anchor:   the encodings for the anchor data
            positive: the encodings for the positive data (similar to anchor)
            negative: the encodings for the negative data (different from anchor)

jerodg

Microsoft Windows and Office KMS Setup

arnobroekhof

version: "3.2"

# run script
# docker swarm init
# docker stack deploy timeseries -c docker-compose.yml
services:
    influxdb:
      image: influxdb:latest
      ports:
      - 8086:8086

rohitner

pinge

mounting iPhone storage in Ubuntu 16.04 LTS

check if your device was recognized correctly

$ dmesg | grep ipheth
[62051.385352] ipheth 1-5:4.2: Apple iPhone USB Ethernet device attached
[62051.385437] usbcore: registered new interface driver ipheth

create mounting point and make it writable (optional)

mrbar42

Secured HLS setup with Nginx as media server

This example is part of this article.

This is an example for an HLS delivery with basic security. Nginx compiled with nginx-rtmp-module & secure-link is used as media server. Features:

• Domain filtering
• Referrer filtering
• Embed buster

bogdan-kulynych

# WARNING: These steps seem to not work anymore!

#!/bin/bash

# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"

# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb